Ultrasonographic Assessment of Intima-Media Thickness (IMT), as a Surrogate of Future Atherosclerosis and Cardiac Diseases in Patients with Hashimoto’s Thyroiditis and Concomitant... by Maryam Alaei, Mohamad Ghazanfari Hashemi, Seyedeh Nooshin Miratashi Yazdi, Mohammad Ali Kaviani, Ali Asadifar, Sahand Adib Moradi, Khazar Adibmoradi Langaroudi, Helia Helali, Mina Mahboudi, Aynaz Gerami

“…This can indicate the potential importance and predictive value of ultrasonic IMT evaluation in Celiac disease and Hashimoto’s thyroiditis as a marker of atherosclerosis progression as well as future risk of cardiovascular insults. …”
Get full text

Ecotoxicity of lanthanides to Daphnia magna: insights from elemental behavior and speciation in a standardized test medium by Vignati, Davide A.L., Martin, Loïc A., Poirier, Laurence, Zalouk-Vergnoux, Aurore, Fouque, Chantal, Bojic, Clément, Hissler, Christophe, Cossu-Leguille, Carole

“…In particular, only limited information is available on i) the actual relationships between LN speciation vs. ecotoxicological responses in standardized laboratory tests and ii) the existence of regular and predictable patterns in LN ecotoxicity (expressed as e.g., EC50) along the LN series. …”
Get full text

EMA/CO Combination Chemotheraphy in Gestational Trophoblastic Neoplasia: Update of Our Results by Tolga Taşçı, Işın Üreyen, Günsu Kimyon, Alper Karalök, Sevgi Koç, M. Faruk Köse, Gökhan Tulunay, Taner Turan

“…Because of the differences in many studies, risk factors for predicting the success of the treatment are not clear. …”
Get full text

Acute and chronic effects of physical exercise on atherosclerosis, kynurenine pathway, endothelial function and inflammation in patients with coronary artery disease: a clinical tr... by Eliete Bouskela, Gabriela Andrade Paz, Marcus VDS Rangel, Caio Luan Farias, André Luiz Conveniente Soares, Erica Langner, Tatiana Teixeira, Patrícia M L Dutra, Paulo Farinatti, Maria das Graças C Souza, Juliana P Borges

“…Patients with CAD exhibit increased levels of kynurenine (KYN) pathway (KP) metabolites, which are key products of tryptophan (TRP) catabolism and have been identified as predictive markers for cardiovascular events and atherosclerosis progression. …”
Get full text

Disparities in surgical treatments for stress, urge and mixed urinary incontinence: Evidence from the 2019 National Ambulatory Surgery Sample (NASS) by Christabel Egemba, Edie Duncan, Katherine Amin, Alan Wein, Alberto J. Caban-Martinez, Raveen Syan

“…Conclusion:: Among female patients with UI, certain factors predict whether a patient will receive surgical treatment, including race, insurance status, and income level. …”
Get full text

Serum calprotectin and renal function decline in ANCA-associated vasculitides: a post hoc analysis of MAINRITSAN trial by Xavier Romand, Benjamin Terrier, Athan Baillet, Philippe Gaudin, Loic Guillevin, Christian Pagnoux, Minh Vu Chuong, Marie Hélène Paclet

“…The aim of this study was to assess whether serum calprotectin levels can predict decline in renal function in AAV patients receiving maintenance therapy.Methods Serum calprotectin levels were assessed at inclusion and month 6 in AAV patients, in complete remission after induction therapy, randomly assigned to rituximab or azathioprine. …”
Get full text

Hooks, Lines, and Sinkers: How Active Galactic Nucleus Feedback and Cosmic-Ray Transport Shape the Far-infrared–Radio Correlation of Galaxies by Sam B. Ponnada, Rachel K. Cochrane, Philip F. Hopkins, Iryna S. Butsky, Sarah Wellons, N. Nicole Sanchez, Cameron Hummels, Yue Samuel Lu, Dušan Kereš, Christopher C. Hayward

“…In doing so, we generally verify the predictions of “calorimeter” theories at high FIR luminosities ( L _60 _μ _m  ≳ 10 ^9.5 L _⊙ ) and at low FIR luminosities ( L _60 _μ _m ≲ 10 ^9.5 L _⊙ ), the so-called “conspiracy” of increasing UV radiation escape in tandem with increasing CRe escape, and find that the global FRC is insensitive to orders-of-magnitude locally variable CR transport coefficients. …”
Get full text

Exploring DNA methylation, telomere length, mitochondrial DNA, and immune function in patients with Long-COVID by Andrea Polli, Lode Godderis, Dries S. Martens, Madhura Shekhar Patil, Jolien Hendrix, Arne Wyns, Jente Van Campenhout, Emma Richter, Lara Fanning, Olivia Vandekerckhove, Eveline Claeys, Wim Janssens, Natalie Lorent

“…Troponin T and telomere shortening were the two main markers predicting Long-COVID and PEM-fatigue symptoms. Conclusions Long-COVID is not just one entity. …”
Get full text

Pulmonary hypertension in Finland 2008-2020: A descriptive real-world cohort study (FINPAH) by Markku Pentikäinen, Piia Simonen, Helena Tuunanen, Pauliina Leskelä, Terttu Harju, Pertti Jääskeläinen, Christian Asseburg, Minna Oksanen, Erkki Soini, Christina Wennerström, Airi Puhakka, Terttu Harju, Elina Heliövaara, Pertti Jääskeläinen, Katriina Kahlos, Pentti Korhonen, Tiina Kyllönen, Pauliina Leskelä, Kirsi Majamaa-Voltti, Piia Simonen, Anu Turpeinen, Helena Tuunanen, Ville Vepsäläinen, Tapani Vihinen

“…PAH subtype, cardiac output, and the presence of ischemic heart disease or type 2 diabetes predicted survival.CTEPH patients (n = 189) were 63 years (mean) at diagnosis and 49% were women. …”
Get full text

Associations and potential epigenetic changes between air pollution and osteoarthritis risk and survival: Insights from a prospective cohort study by Jing Qian, Jiahao Zhu, Yifan Wang, Ruoqi Dai, Jingyou Miao, Ye Yang, Wenxia Zhao, Jing Wang, Lilu Ding, Dan Zhou, Min Yu, Yingjun Li

“…Moreover, genetically predicted methylation at the PM2.5-related CpG site cg04027612 near the GDF5 gene was associated with a lower risk of OA. …”
Get full text

Exploring the application of knowledge transfer to sports video data by Shahrokh Heidari, Gibran Zazueta, Riki Mitchell, David Arturo Soriano Valdez, Mitchell Rogers, Mitchell Rogers, Jiaxuan Wang, Ruigeng Wang, Marcel Noronha, Alfonso Gastelum Strozzi, Mengjie Zhang, Patrice Jean Delmas, Patrice Jean Delmas

“…The application of Artificial Intelligence (AI) and Computer Vision (CV) in sports has generated significant interest in enhancing viewer experience through graphical overlays and predictive analytics, as well as providing valuable insights to coaches. …”
Get full text

The Impact of Exposure to Indoor Pollutants on Allergy and Lung Inflammation among School Children in Selangor, Malaysia: An Evaluation Using Factor Analysis by Khairul Nizam Mohd Isa, Zailina Hashim, Juliana Jalaludin, Dan Norbäck, Mohammed Abdulrazzaq Jabbar, Jamal Hisham Hashim

“…The PCA suggested that the most prominent factor associated with increasing FeNO levels was PM10, with 73.5% of the variation. SPC predicted the pattern of FeNO at an upper confidence limit (UCL) of 104.21 ppb with increasing PM10 concentration in the classroom (UCL = 40.23 µg m−3). …”
Get full text

A study to correlate the association of Gender, Age, Physiology (GAP) index and radiological patterns in interstitial lung disease by Aditya Shashi Bhushan, B L Shashibhushan, K Ashwin

“…The GAP index, based on gender, age, and pulmonary function, predicts mortality and disease severity in patients with ILD. …”
Get full text

Interplay between fecundity, sexual and growth selection on the spring phenology of European beech (Fagus sylvatica L.). by Oddou-Muratorio, Sylvie, Bontemps, Aurore, Gauzere, Julie, Klein, Etienne K

“…This interplay between fecundity and sexual selection calls for an integrative approach to predict the evolution of spring phenology under a changing climate.…”
Get full text

Patient “No-Show” Prior to Elective Primary Total Hip Arthroplasty Increases Risk of Postoperative Anemia by Jeffrey S. Mun, BA, Matthew W. Parry, MD, MS, Alex Tang, MD, Jesse J. Manikowski, MS, Cory Crinella, PA-C, John J. Mercuri, MD, MA

“…Regression analyses were run to identify relationships between NS status and postoperative outcomes, as well as factors that would predict NS status. Results: Compared to AA patients, NS patients had an increased odds of a postoperative complication (odds ratio:1.3, P = .0005), specifically postoperative anemia (odds ratio: 1.3, P = .0004). …”
Get full text

Joint trajectories of physical activity, health, and income before and after statutory retirement: A 22-year follow-up. by Tea Lallukka, Petteri Kolmonen, Ossi Rahkonen, Eero Lahelma, Jouni Lahti

“…People with obesity had a 22 percentage-point (21-24) higher predicted probability of belonging to Group 1 than people with normal weight. …”
Get full text

Shaping the future of primary healthcare: Factors influencing medical students’ preference for family medicine specialty in Qatar by Maryam A. Al-Rashid, Muna T Abed Alah, Areej S. Al-Hamad, Michail Nomikos, Marwan F. Abu Hijleh

“…Being in the clerkship phase of medical education (adjusted odds ratio [AOR]=2.18, 95% CI: 1.12–4.23, P = 0.022) and possessing a personal connection to Family Medicine (AOR= 3.46, 95% CI: 1.65–7.29, P = 0.001) significantly predicted the selection of Family Medicine between students’ top two choices. …”
Get full text

Investigation of Association with First-Trimester Free Human Chorionic Gonadotropin-ß, Pregnancy - Associated Plasma Protein-A, and Adverse Pregnancy Outcomes by Gokhan Gonen, Yasam Kemal Akpak, Murat Muhcu

“…It may be a useful tool to predictive not only chromosome anomalies but also adverse pregnancy outcomes. …”
Get full text

Association between the triglyceride–glucose index and the risk of acute kidney injury in critically ill patients with acute pancreatitis: a retrospective study by Zheng Wang, Haoyu Zhang, Xiaozhou Xie, Jie Li, Yuchen Jia, Jiongdi Lu, Chongchong Gao, Feng Cao, Fei Li

“…Abstract Background The triglyceride–glucose (TyG) index is increasingly recognized for its ability to predict cardiovascular and metabolic risks. This study investigated the correlation between the TyG index and the risk of acute kidney injury(AKI) in critical ill patients with acute pancreatitis(AP). …”
Get full text

Kombinasi K-NN dan Gradient Boosted Trees untuk Klasifikasi Penerima Program Bantuan Sosial by Elly Firasari, Umi Khultsum, Monikka Nur Winnarto, Risnandar Risnandar

“…Data mining helps to determine decisions in predicting data in the future. Gradient Boosted Trees and K-NN are data mining methods for data classification. …”
Get full text